Jingyan Jiang

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare

Fast-DRD: Fast decentralized reinforcement distillation for deadline-aware edge computing

Decentralised federated learning with adaptive partial gradient aggregation